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Modeling the prospects of plug-in hybrid electric vehicles to reduce CO2 emissions


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  • Doucette, Reed T.
  • McCulloch, Malcolm D.
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    This study models the CO2 emissions from electric (EV) and plug-in hybrid electric vehicles (PHEV), and compares the results to published values for the CO2 emissions from conventional vehicles based on internal combustion engines (ICE). PHEVs require fewer batteries than EVs which can make them lighter and more efficient than EVs. PHEVs can also operate their onboard ICEs more efficiently than can conventional vehicles. From this, it was theorized that PHEVs may be able to emit less CO2 than both conventional vehicles and EVs given certain power generation mixes of varying CO2 intensities. Amongst the results it was shown that with a highly CO2 intensive power generation mix, such as in China, PHEVs had the potential to be responsible for fewer tank to wheel CO2 emissions over their entire range than both a similar electric and conventional vehicle. The results also showed that unless highly CO2 intensive countries pursue a major decarbonization of their power generation, they will not be able to fully take advantage of the ability of EVs and PHEVs to reduce the CO2 emissions from automotive transport.

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    Bibliographic Info

    Article provided by Elsevier in its journal Applied Energy.

    Volume (Year): 88 (2011)
    Issue (Month): 7 (July)
    Pages: 2315-2323

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    Handle: RePEc:eee:appene:v:88:y:2011:i:7:p:2315-2323

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    Keywords: Electric Vehicle Hybrid Plug in CO2 Emission;

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    Cited by:
    1. Maarten Messagie & Faycal-Siddikou Boureima & Thierry Coosemans & Cathy Macharis & Joeri Van Mierlo, 2014. "A Range-Based Vehicle Life Cycle Assessment Incorporating Variability in the Environmental Assessment of Different Vehicle Technologies and Fuels," Energies, MDPI, Open Access Journal, vol. 7(3), pages 1467-1482, March.
    2. Fang, Guochang & Tian, Lixin & Fu, Min & Sun, Mei, 2013. "The impacts of carbon tax on energy intensity and economic growth – A dynamic evolution analysis on the case of China," Applied Energy, Elsevier, Elsevier, vol. 110(C), pages 17-28.
    3. Tang, Bao-jun & Wu, Xiao-feng & Zhang, Xian, 2013. "Modeling the CO2 emissions and energy saved from new energy vehicles based on the logistic-curve," Energy Policy, Elsevier, Elsevier, vol. 57(C), pages 30-35.
    4. Vachirasricirikul, Sitthidet & Ngamroo, Issarachai, 2011. "Robust controller design of heat pump and plug-in hybrid electric vehicle for frequency control in a smart microgrid based on specified-structure mixed H2/H∞ control technique," Applied Energy, Elsevier, Elsevier, vol. 88(11), pages 3860-3868.
    5. Yalian Yang & Xiaosong Hu & Datong Qing & Fangyuan Chen, 2013. "Arrhenius Equation-Based Cell-Health Assessment: Application to Thermal Energy Management Design of a HEV NiMH Battery Pack," Energies, MDPI, Open Access Journal, vol. 6(5), pages 2709-2725, May.
    6. Hou, Cong & Ouyang, Minggao & Xu, Liangfei & Wang, Hewu, 2014. "Approximate Pontryagin’s minimum principle applied to the energy management of plug-in hybrid electric vehicles," Applied Energy, Elsevier, Elsevier, vol. 115(C), pages 174-189.
    7. Torres, J.L. & Gonzalez, R. & Gimenez, A. & Lopez, J., 2014. "Energy management strategy for plug-in hybrid electric vehicles. A comparative study," Applied Energy, Elsevier, Elsevier, vol. 113(C), pages 816-824.
    8. Katrašnik, Tomaž, 2013. "Impact of vehicle propulsion electrification on Well-to-Wheel CO2 emissions of a medium duty truck," Applied Energy, Elsevier, Elsevier, vol. 108(C), pages 236-247.


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